Image segmentation is an old and difficult problem in digital image processing. A self-adaptive approach of multi-object image segmentation is presented in this paper. In this approach

OSTU method has been improved on

and square error analyse method is used to self-adaptive confirm the best fit object number. Genetic algorithm is used to optimize threshold value. Segmentation result based on the sample image shows that the algorithm achieves good performance in terms of efficiency of segmentation and segment quality. Expreimental results shows that this approach is effective to segment multi-object image.